Artificial Intelligence in Arabicالذكاء الصناعي مبتدئ لمحترف from Udemy

What's inside

Learning objectives

Numpy, pandas, matplotlib, seaborn ø§ùùùøªø¨ø§øª ø§ùùø´ùùø±ø©
Scikit learn and keras

Regression, classification and deep learning

Numpy, pandas, matplotlib, seaborn ø§ùùùøªø¨ø§øª ø§ùùø´ùùø±ø©
Scikit learn and keras
Regression, classification and deep learning

Syllabus

INTRODUCTION

Introduction and Welcome Message

Course Overview

AI AND MACHINE LEARNING OVERVIEW

Introduction - What is Machine Learning and AI?

Introduction - What is Machine Learning and AI? - Part 2

INSTALLATION AND SETUP [OPTIONAL]

Anaconda Setup & Installation

What are Jupyter Notebook?

How to run a Jupyter Notebook? Part #1

How to run a Jupyter Notebook? Part #2

REGRESSION

Simple Linear Regression - Intuition

Simple Linear Regression - Sum of Least Squares

Project #1 - Part #1

Project #1 - Part #2

Project #1 - Part #3

Project #1 - Part #4

Project - Part #5

Project #1 - Part #6

Project #2 - Part #1

Project #2 - Part #2

Project #2 - Part #3

Project #2 - Part #4

Project #2 - Part #5

Project #2 - Part #6

CLASSIFICATION

Logistic Regression - Intuition part #1

Logistic Regression - Project #1 - Part #2

Confusion Matrix Overview

Logistic Regression - Project #1 - Part #1

Logistic Regression - Project #1 - Part #3

Logistic Regression - Project #1 - Part #4

Logistic Regression - Project #1 - Part #5

Logistic Regression - Project #1 - Part #6

Logistic Regression - Project #1 - Part #7

Logistic Regression - Project #1 - Part #8

Support Vector Machines - Intuition

Support Vector Machines - Parameters Optimization

Cancer Detection Overview

Project - Part #1

Project - Part #2

Project - Part #3

Project - Part #4

Project - Part #6

Project - Part #7

Project - Part #8

DEEP LEARNING

Deep Learning - Intuition

What is an Image and how to represent it digitally?

Artificial Neural Networks Basics

Convolution Neural Networks Overview

Convolution

RELU

Max pooling Layer

Dropouts

CNN Projects - Part #1

CNN Projects - Part #2

CNN Projects - Part #3

CNN Projects - Part #4

CNN Projects - Part #5

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches multiple widely-used Python libraries, including NumPy, scikit-learn, and Keras

Develops a wide range from beginner to advanced Python skills in the context of AI and ML

Provides hands-on experience with ten real-world projects

Teaches students to use machine learning techniques to build real-world applications, such as spam filters and cancer detection systems

Suitable for a wide range of learners, including beginners with no prior programming experience

Covers the latest developments in AI and ML, including deep learning and neural networks

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Artificial Intelligence in Arabicالذكاء الصناعي مبتدئ لمحترف with these activities:

复习 Numpy、pandas、matplotlib、seaborn 的基础知识

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温故而知新，本次复习将帮助你夯实基础，为后续课程内容的学习做好铺垫。

Browse courses on NumPy

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回顾 NumPy 中数组和矩阵的操作
复习 Pandas 中数据框和数据透视表的用法
熟悉 Matplotlib 中的数据可视化工具
掌握 Seaborn 中更高级的数据可视化技术

探索 Scikit-Learn 和 Keras 教程

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通过跟随教程，你将进一步加深对 Scikit-Learn 和 Keras 的理解，提升你的机器学习技能。

Browse courses on scikit-learn

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完成 Scikit-Learn 入门教程
学习 Keras 图像分类教程
尝试使用 Scikit-Learn 或 Keras 构建自己的机器学习模型

分享你的机器学习见解

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通过分享你的机器学习心得，你将不仅帮助他人理解相关概念，还能加深自己的理解。

Browse courses on Machine Learning

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撰写博客文章或录制视频教程介绍机器学习基础知识
参与在线论坛或讨论组，回答其他学习者的问题
在社交媒体上分享机器学习相关的新闻和资源

Two other activities

Expand to see all activities and additional details

Show all five activities

练习回归、分类和深度学习

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通过大量的练习，你将熟练掌握回归、分类和深度学习技术，提高解决实际问题的实战能力。

Browse courses on Regression

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完成回归练习题，如线性回归和逻辑回归
尝试解决分类问题，使用支持向量机和决策树等算法
实践深度学习项目，构建图像分类或自然语言处理模型

构建一个完整的机器学习项目

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亲手实践是一个加深理解的绝佳方式。通过完成一个完整的机器学习项目，你将综合运用所学知识，提升你的问题解决和项目开发能力。

Browse courses on Machine Learning

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确定项目目标和收集数据集
预处理数据和选择算法
训练和评估模型
部署模型并监控性能

Career center

Learners who complete Artificial Intelligence in Arabicالذكاء الصناعي مبتدئ لمحترف will develop knowledge and skills that may be useful to these careers:

Data Scientist

As a Data Scientist, you collect, clean, and analyze data to identify trends and patterns. Using the techniques learned in this Artificial Intelligence in Arabic course, you will be able to apply your deep learning knowledge to create models that can predict future outcomes, analyze large datasets, and help make better decisions.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models that can solve business problems. Your knowledge from this course, such as Numpy, Pandas, Matplotlib, and Seaborn, will provide you with the foundation to excel in this role.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. The knowledge and skills acquired in this course, such as programming with Python, Scikit Learn, and Keras, will help you become a valuable asset to any software development team.

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Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. The techniques learned in this Artificial Intelligence in Arabic course will provide you with the necessary skills to extract meaningful insights from data and communicate findings to stakeholders in the field.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use data to identify inefficiencies and develop solutions to improve business processes. This Artificial Intelligence in Arabic course will provide you with the skills and knowledge you need to analyze data, identify trends, and make recommendations that can positively impact an organization.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. The deep learning, regression, and classification techniques covered in this Artificial Intelligence in Arabic course will provide you with a strong foundation for a career in quantitative finance.

See salaries and explore the career path for Quantitative Analyst

Product Manager

Product Managers are responsible for the development and management of products. The knowledge and skills gained in this Artificial Intelligence in Arabic course, such as understanding AI and machine learning concepts, will enable you to better understand product features and make informed decisions throughout the product development lifecycle.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve complex business problems and improve efficiency. The skills and knowledge gained in this Artificial Intelligence in Arabic course, such as data analysis and modeling, will provide you with a strong foundation for this role.

See salaries and explore the career path for Operations Research Analyst

Management Consultant

Management Consultants provide advice to businesses on how to improve their operations. The knowledge and skills gained in this Artificial Intelligence in Arabic course, such as problem-solving and analytical thinking, will provide you with a solid foundation for a career in management consulting.

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Financial Analyst

Financial Analysts provide advice to individuals and businesses on investment decisions. The knowledge and skills gained in this Artificial Intelligence in Arabic course, such as data analysis and modeling, will provide you with a strong foundation for this role.

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Statistician

Statisticians collect, analyze, and interpret data to draw meaningful conclusions. The knowledge and skills gained in this Artificial Intelligence in Arabic course, such as regression and classification techniques, will provide you with a strong foundation for a career in statistics.

See salaries and explore the career path for Statistician

Market Researcher

Market Researchers conduct research to understand consumer behavior and market trends. The knowledge and skills gained in this Artificial Intelligence in Arabic course, such as data analysis and modeling, will provide you with a strong foundation for this role.

See salaries and explore the career path for Market Researcher

User Experience Researcher

User Experience Researchers conduct research to understand how users interact with products and services. The knowledge and skills gained in this Artificial Intelligence in Arabic course, such as data analysis and problem-solving, will provide you with a strong foundation for this role.

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Data Engineer

Data Engineers build and maintain data infrastructure to support data analysis and machine learning. The knowledge and skills gained in this Artificial Intelligence in Arabic course, such as Python programming and data wrangling, will provide you with a strong foundation for this role.

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Computer Vision Engineer

Computer Vision Engineers develop and implement algorithms to enable computers to interpret and analyze visual data. The knowledge and skills gained in this Artificial Intelligence in Arabic course, such as deep learning and image processing, will provide you with a strong foundation for this role.

See salaries and explore the career path for Computer Vision Engineer